wifi-densepose/rust-port/wifi-densepose-rs/crates/wifi-densepose-desktop/ui/node_modules/jsesc
rUv 341d9e05a8
ruv-neural: publish 11 crates to crates.io — full implementation, no stubs
* Add temporal graph evolution & RuVector integration research

GOAP Agent 8 output: 1,528-line SOTA research document covering temporal
graph models (TGN, JODIE, DyRep), RuVector graph memory design, mincut
trajectory tracking with Kalman filtering, event detection pipelines,
compressed temporal storage, cross-room transition graphs, and a 5-phase
integration roadmap.

Part of RF Topological Sensing research swarm (10 agents).

https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv

* Add transformer architectures for graph sensing research

GOAP Agent 4 output: 896-line SOTA document covering Graph Transformers
(Graphormer, SAN, GPS, TokenGT), Temporal Graph Transformers (TGN, TGAT,
DyRep), ViT for RF spectrograms, transformer-based mincut prediction,
positional encoding for RF graphs, foundation models for RF sensing, and
efficient edge deployment with INT8 quantization.

Part of RF Topological Sensing research swarm (10 agents).

https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv

* Add attention mechanisms for RF sensing research

GOAP Agent 3 output: 1,110-line document covering GAT for RF graphs,
self-attention for CSI sequences, cross-attention multi-link fusion,
attention-weighted differentiable mincut, spatial node attention,
antenna-level subcarrier attention, and efficient attention variants
(linear, sparse, LSH, S4/Mamba). 8 ASCII architecture diagrams.

Part of RF Topological Sensing research swarm (10 agents).

https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv

* Add sublinear mincut algorithms research

GOAP Agent 5 output: 698-line document covering classical mincut complexity,
sublinear approximation (sampling, sparsifiers), dynamic mincut with lazy
recomputation hybrid, streaming sketch algorithms, Benczur-Karger
sparsification, local partitioning (PageRank-guided cuts), randomized
methods reliability analysis, and Rust implementation with const-generic
RfGraph, zero-alloc Stoer-Wagner, SIMD batch updates.

Part of RF Topological Sensing research swarm (10 agents).

https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv

* Add CSI edge weight computation research

GOAP Agent 2 output: ~700-line document covering CSI feature extraction,
coherence metrics (cross-correlation, mutual information, phasor coherence),
multipath stability scoring (MUSIC, ESPRIT, ISTA), temporal windowing
(EMA, Welford, Kalman), noise robustness (phase noise, AGC, clock drift),
edge weight normalization, and implementation architecture showing 32KB
memory for 120 edges within ESP32-S3 capability.

Part of RF Topological Sensing research swarm (10 agents).

https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv

* Add contrastive learning for RF coherence research

GOAP Agent 7 output: 1,226-line document covering SimCLR/MoCo/BYOL for CSI,
AETHER-Topo dual-head extension, coherence boundary detection with multi-scale
analysis, delta-driven updates (2-12x efficiency), self-supervised pre-training
protocol, triplet networks for 5-state edge classification, and MERIDIAN
cross-environment transfer with EWC continual learning.

Part of RF Topological Sensing research swarm (12 agents).

https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv

* Add resolution and spatial granularity analysis research

GOAP Agent 9 output: 1,383-line document covering Fresnel zone analysis,
node density vs resolution (16-node/5m room → 30-60cm), Cramer-Rao lower
bounds with Fisher Information Matrix, graph cut resolution theory,
multi-frequency enhancement (6cm coherent dual-band limit), RF tomography
comparison, experimental validation protocols, and resolution scaling laws
(8.8cm theoretical limit).

Part of RF Topological Sensing research swarm (12 agents).

https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv

* Add RF graph theory and minimum cut foundations research

GOAP Agent 1 output: Graph-theoretic foundations covering max-flow/min-cut
for RF (Ford-Fulkerson, Stoer-Wagner, Karger), RF as dynamic graph with
CSI coherence weights, topological change detection via Fiedler vector and
Cheeger inequality, dynamic graph algorithms, comparison to classical RF
sensing, formal mathematical framework, and 9 open research questions.

Part of RF Topological Sensing research swarm (12 agents).

https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv

* Add ESP32 mesh hardware constraints research

GOAP Agent 6 output: ESP32 CSI capabilities (52/114 subcarriers), 16-node
mesh topology with 120 edges, TDM synchronized sensing (3ms slots),
computational budget (Stoer-Wagner uses 0.07% of one core), channel hopping,
power analysis (0.44W/node), dual-core firmware architecture, and edge vs
server computing with 100x data reduction on-device.

Part of RF Topological Sensing research swarm (12 agents).

https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv

* Add system architecture and prototype design research

GOAP Agent 10 output: End-to-end architecture with pipeline diagrams,
existing crate integration mapping, new rf_topology module design (DDD
aggregate roots), 100ms latency budget breakdown, 3-phase prototype plan
(4-node POC → 16-node room → 72-node multi-room), benchmark design with
8 metrics, ADR-044 draft, and Rust trait definitions (EdgeWeightComputer,
TopologyGraph, MinCutSolver, BoundaryInterpolator).

Part of RF Topological Sensing research swarm (12 agents).

https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv

* Add quantum sensing and quantum biomedical research documents

Agent 11: Quantum-level sensors (729 lines) — NV centers, SQUIDs, Rydberg
atoms, quantum illumination, quantum graph theory (walks, spectral, QAOA),
hybrid classical-quantum architecture, quantum ML (VQC, kernels, reservoir
computing), NISQ applications (D-Wave, VQE), hardware roadmap.

Agent 12: Quantum biomedical sensing (827 lines) — whole body biomagnetic
mapping, neural field imaging without electrodes, circulation sensing,
cellular EM signaling, non-contact diagnostics, coherence-based diagnostics
(disease as coherence breakdown), neural interfaces, multimodal observatory,
room-scale ambient health monitoring, graph-based biomedical analysis.

Part of RF Topological Sensing research swarm (12 agents).

https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv

* Add research index synthesizing all 12 documents (14,322 lines)

Master index for RF Topological Sensing research compendium covering:
graph theory foundations, CSI edge weights, attention mechanisms,
transformers, sublinear algorithms, ESP32 hardware, contrastive learning,
temporal graphs, resolution analysis, system architecture, quantum sensors,
and quantum biomedical sensing. Includes key findings, proposed ADRs
(044, 045), and 5-phase implementation roadmap.

https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv

* Add SOTA neural decoding landscape and 10 application domains research

- Doc 21: Comprehensive SOTA map (2023-2026) of brain sensors, decoders,
  and visualization systems with RuVector/mincut positioning analysis
- Doc 22: Ten application domains for brain state observatory including
  disease detection, BCI, cognitive monitoring, mental health diagnostics,
  neurofeedback, dream reconstruction, cognitive research, HCI, wearables,
  and brain network digital twins with strategic roadmap

https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv

* Add NV diamond neural magnetometry research document (13/22)

Comprehensive 600+ line document covering NV center physics, neural
magnetic field sources, sensor architecture, SQUID comparison, signal
processing pipeline, RuVector integration, and development roadmap.

https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv

* Add ruv-neural workspace Cargo.toml with 12 crate definitions

Workspace structure for the rUv Neural brain topology analysis system.
12 mix-and-match crates with shared dependencies including RuVector
integration, petgraph, rustfft, and WASM/ESP32 support.

https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv

* Add ruv-neural crate ecosystem — 12 mix-and-match crates (WIP)

Initial implementation of the rUv Neural brain topology analysis system:
- ruv-neural-core: Core types, traits, errors, RVF format (compiles)
- ruv-neural-sensor: NV diamond, OPM, EEG sensor interfaces (in progress)
- ruv-neural-signal: DSP, filtering, spectral, connectivity (in progress)
- ruv-neural-graph: Brain connectivity graph construction (in progress)
- ruv-neural-mincut: Dynamic minimum cut topology analysis (in progress)
- ruv-neural-embed: RuVector graph embeddings (in progress)
- ruv-neural-memory: Persistent neural state memory + HNSW (compiles)
- ruv-neural-decoder: Cognitive state classification + BCI (in progress)
- ruv-neural-esp32: ESP32 edge sensor integration (compiles)
- ruv-neural-wasm: WebAssembly browser bindings (in progress)
- ruv-neural-viz: Visualization + ASCII rendering (in progress)
- ruv-neural-cli: CLI tool (in progress)

Agents still writing remaining modules. Next: fix compilation, tests, push.

https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv

* Fix ruv-neural crate compilation: all 12 crates build and 1200+ tests pass

- Fix node2vec.rs type inference error (Vec<_> → Vec<Vec<f64>>)
- Fix artifact.rs with full filter-based detection implementations
- Fix signal crate ConnectivityMetric re-export and trait method names
- Fix embed crate EmbeddingGenerator trait implementations
- Complete spectral, topology, and node2vec embedders with tests
- Complete preprocessing pipeline with sequential stage processing
- All workspace crates compile cleanly, 0 test failures

https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv

* Add ruv-neural-cli README

https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv

* fix: convert desktop icons from RGB to RGBA for Tauri build

Tauri's generate_context!() macro requires RGBA PNG icons. All 5 icon
files (32x32.png, 128x128.png, 128x128@2x.png, icon.icns, icon.ico)
were RGB-only, causing a proc macro panic on Linux builds.

Fixes #200

Co-Authored-By: claude-flow <ruv@ruv.net>

* Add Subcarrier Manifold and Vitals Oracle modules for 3D visualizations

- Implemented Subcarrier Manifold to visualize amplitude data as a 3D surface with height and age attributes.
- Created Vitals Oracle to represent vital signs using toroidal rings and particle trails, incorporating breathing and heart rate dynamics.
- Both modules utilize Three.js for rendering and include custom shaders for visual effects.

* feat: complete ruv-neural implementation — physics models, security, witness verification

Replace all stubs/mocks with production physics-based signal models:
- NV Diamond: ODMR Lorentzian dip, 1/f pink noise (Voss-McCartney), brain oscillations
- OPM: SERF-mode, 50/60Hz powerline harmonics, full cross-talk compensation
  via Gaussian elimination with partial pivoting
- EEG: 5 frequency bands, eye blink artifacts (Fp1/Fp2), muscle artifacts,
  impedance-based thermal noise floor
- ESP32 ADC: ring-buffer reader with calibration signal generator, i16 clamp

Security hardening (SEC-001 through SEC-005):
- RVF bounded allocation (16MB metadata, 256MB payload)
- sample_rate validation (>0, finite)
- Signal NaN/Inf rejection
- ADC resolution_bits overflow clamp
- HNSW HashSet visited tracking + bounds checks

Performance optimizations (PERF-001 through PERF-005):
- 67x fewer FFTs via pre-computed analytic signals
- VecDeque O(1) eviction in memory store
- Thread-local FFT planner caching
- BrainGraph::validate() for edge/weight integrity
- Eigenvalue convergence early termination

Ed25519 witness verification system:
- 41 capability attestations across all 12 crates
- SHA-256 digest + Ed25519 signature
- CLI commands: `witness --output` and `witness --verify`

README: ethics warning, hardware parts list (AliExpress), assembly instructions

Co-Authored-By: claude-flow <ruv@ruv.net>

* docs: add crates.io badges and install instructions to ruv-neural README

Add version badges linking to each published crate on crates.io,
cargo add instructions, and crate search link in the Crate Map table.

Co-Authored-By: claude-flow <ruv@ruv.net>

---------

Co-authored-by: Claude <noreply@anthropic.com>
2026-03-09 10:52:24 -04:00
..
bin ruv-neural: publish 11 crates to crates.io — full implementation, no stubs 2026-03-09 10:52:24 -04:00
man ruv-neural: publish 11 crates to crates.io — full implementation, no stubs 2026-03-09 10:52:24 -04:00
LICENSE-MIT.txt ruv-neural: publish 11 crates to crates.io — full implementation, no stubs 2026-03-09 10:52:24 -04:00
README.md ruv-neural: publish 11 crates to crates.io — full implementation, no stubs 2026-03-09 10:52:24 -04:00
jsesc.js ruv-neural: publish 11 crates to crates.io — full implementation, no stubs 2026-03-09 10:52:24 -04:00
package.json ruv-neural: publish 11 crates to crates.io — full implementation, no stubs 2026-03-09 10:52:24 -04:00

README.md

jsesc

Given some data, jsesc returns a stringified representation of that data. jsesc is similar to JSON.stringify() except:

  1. it outputs JavaScript instead of JSON by default, enabling support for data structures like ES6 maps and sets;
  2. it offers many options to customize the output;
  3. its output is ASCII-safe by default, thanks to its use of escape sequences where needed.

For any input, jsesc generates the shortest possible valid printable-ASCII-only output. Heres an online demo.

jsescs output can be used instead of JSON.stringifys to avoid mojibake and other encoding issues, or even to avoid errors when passing JSON-formatted data (which may contain U+2028 LINE SEPARATOR, U+2029 PARAGRAPH SEPARATOR, or lone surrogates) to a JavaScript parser or an UTF-8 encoder.

Installation

Via npm:

npm install jsesc

In Node.js:

const jsesc = require('jsesc');

API

jsesc(value, options)

This function takes a value and returns an escaped version of the value where any characters that are not printable ASCII symbols are escaped using the shortest possible (but valid) escape sequences for use in JavaScript strings. The first supported value type is strings:

jsesc('Ich ♥ Bücher');
// → 'Ich \\u2665 B\\xFCcher'

jsesc('foo 𝌆 bar');
// → 'foo \\uD834\\uDF06 bar'

Instead of a string, the value can also be an array, an object, a map, a set, or a buffer. In such cases, jsesc returns a stringified version of the value where any characters that are not printable ASCII symbols are escaped in the same way.

// Escaping an array
jsesc([
  'Ich ♥ Bücher', 'foo 𝌆 bar'
]);
// → '[\'Ich \\u2665 B\\xFCcher\',\'foo \\uD834\\uDF06 bar\']'

// Escaping an object
jsesc({
  'Ich ♥ Bücher': 'foo 𝌆 bar'
});
// → '{\'Ich \\u2665 B\\xFCcher\':\'foo \\uD834\\uDF06 bar\'}'

The optional options argument accepts an object with the following options:

quotes

The default value for the quotes option is 'single'. This means that any occurrences of ' in the input string are escaped as \', so that the output can be used in a string literal wrapped in single quotes.

jsesc('`Lorem` ipsum "dolor" sit \'amet\' etc.');
// → 'Lorem ipsum "dolor" sit \\\'amet\\\' etc.'

jsesc('`Lorem` ipsum "dolor" sit \'amet\' etc.', {
  'quotes': 'single'
});
// → '`Lorem` ipsum "dolor" sit \\\'amet\\\' etc.'
// → "`Lorem` ipsum \"dolor\" sit \\'amet\\' etc."

If you want to use the output as part of a string literal wrapped in double quotes, set the quotes option to 'double'.

jsesc('`Lorem` ipsum "dolor" sit \'amet\' etc.', {
  'quotes': 'double'
});
// → '`Lorem` ipsum \\"dolor\\" sit \'amet\' etc.'
// → "`Lorem` ipsum \\\"dolor\\\" sit 'amet' etc."

If you want to use the output as part of a template literal (i.e. wrapped in backticks), set the quotes option to 'backtick'.

jsesc('`Lorem` ipsum "dolor" sit \'amet\' etc.', {
  'quotes': 'backtick'
});
// → '\\`Lorem\\` ipsum "dolor" sit \'amet\' etc.'
// → "\\`Lorem\\` ipsum \"dolor\" sit 'amet' etc."
// → `\\\`Lorem\\\` ipsum "dolor" sit 'amet' etc.`

This setting also affects the output for arrays and objects:

jsesc({ 'Ich ♥ Bücher': 'foo 𝌆 bar' }, {
  'quotes': 'double'
});
// → '{"Ich \\u2665 B\\xFCcher":"foo \\uD834\\uDF06 bar"}'

jsesc([ 'Ich ♥ Bücher', 'foo 𝌆 bar' ], {
  'quotes': 'double'
});
// → '["Ich \\u2665 B\\xFCcher","foo \\uD834\\uDF06 bar"]'

numbers

The default value for the numbers option is 'decimal'. This means that any numeric values are represented using decimal integer literals. Other valid options are binary, octal, and hexadecimal, which result in binary integer literals, octal integer literals, and hexadecimal integer literals, respectively.

jsesc(42, {
  'numbers': 'binary'
});
// → '0b101010'

jsesc(42, {
  'numbers': 'octal'
});
// → '0o52'

jsesc(42, {
  'numbers': 'decimal'
});
// → '42'

jsesc(42, {
  'numbers': 'hexadecimal'
});
// → '0x2A'

wrap

The wrap option takes a boolean value (true or false), and defaults to false (disabled). When enabled, the output is a valid JavaScript string literal wrapped in quotes. The type of quotes can be specified through the quotes setting.

jsesc('Lorem ipsum "dolor" sit \'amet\' etc.', {
  'quotes': 'single',
  'wrap': true
});
// → '\'Lorem ipsum "dolor" sit \\\'amet\\\' etc.\''
// → "\'Lorem ipsum \"dolor\" sit \\\'amet\\\' etc.\'"

jsesc('Lorem ipsum "dolor" sit \'amet\' etc.', {
  'quotes': 'double',
  'wrap': true
});
// → '"Lorem ipsum \\"dolor\\" sit \'amet\' etc."'
// → "\"Lorem ipsum \\\"dolor\\\" sit \'amet\' etc.\""

es6

The es6 option takes a boolean value (true or false), and defaults to false (disabled). When enabled, any astral Unicode symbols in the input are escaped using ECMAScript 6 Unicode code point escape sequences instead of using separate escape sequences for each surrogate half. If backwards compatibility with ES5 environments is a concern, dont enable this setting. If the json setting is enabled, the value for the es6 setting is ignored (as if it was false).

// By default, the `es6` option is disabled:
jsesc('foo 𝌆 bar 💩 baz');
// → 'foo \\uD834\\uDF06 bar \\uD83D\\uDCA9 baz'

// To explicitly disable it:
jsesc('foo 𝌆 bar 💩 baz', {
  'es6': false
});
// → 'foo \\uD834\\uDF06 bar \\uD83D\\uDCA9 baz'

// To enable it:
jsesc('foo 𝌆 bar 💩 baz', {
  'es6': true
});
// → 'foo \\u{1D306} bar \\u{1F4A9} baz'

escapeEverything

The escapeEverything option takes a boolean value (true or false), and defaults to false (disabled). When enabled, all the symbols in the output are escaped — even printable ASCII symbols.

jsesc('lolwat"foo\'bar', {
  'escapeEverything': true
});
// → '\\x6C\\x6F\\x6C\\x77\\x61\\x74\\"\\x66\\x6F\\x6F\\\'\\x62\\x61\\x72'
// → "\\x6C\\x6F\\x6C\\x77\\x61\\x74\\\"\\x66\\x6F\\x6F\\'\\x62\\x61\\x72"

This setting also affects the output for string literals within arrays and objects.

minimal

The minimal option takes a boolean value (true or false), and defaults to false (disabled). When enabled, only a limited set of symbols in the output are escaped:

  • U+0000 \0
  • U+0008 \b
  • U+0009 \t
  • U+000A \n
  • U+000C \f
  • U+000D \r
  • U+005C \\
  • U+2028 \u2028
  • U+2029 \u2029
  • whatever symbol is being used for wrapping string literals (based on the quotes option)
  • lone surrogates

Note: with this option enabled, jsesc output is no longer guaranteed to be ASCII-safe.

jsesc('foo\u2029bar\nbaz©qux𝌆flops', {
  'minimal': false
});
// → 'foo\\u2029bar\\nbaz©qux𝌆flops'

isScriptContext

The isScriptContext option takes a boolean value (true or false), and defaults to false (disabled). When enabled, occurrences of </script and </style in the output are escaped as <\/script and <\/style, and <!-- is escaped as \x3C!-- (or \u003C!-- when the json option is enabled). This setting is useful when jsescs output ends up as part of a <script> or <style> element in an HTML document.

jsesc('foo</script>bar', {
  'isScriptContext': true
});
// → 'foo<\\/script>bar'

compact

The compact option takes a boolean value (true or false), and defaults to true (enabled). When enabled, the output for arrays and objects is as compact as possible; its not formatted nicely.

jsesc({ 'Ich ♥ Bücher': 'foo 𝌆 bar' }, {
  'compact': true // this is the default
});
// → '{\'Ich \u2665 B\xFCcher\':\'foo \uD834\uDF06 bar\'}'

jsesc({ 'Ich ♥ Bücher': 'foo 𝌆 bar' }, {
  'compact': false
});
// → '{\n\t\'Ich \u2665 B\xFCcher\': \'foo \uD834\uDF06 bar\'\n}'

jsesc([ 'Ich ♥ Bücher', 'foo 𝌆 bar' ], {
  'compact': false
});
// → '[\n\t\'Ich \u2665 B\xFCcher\',\n\t\'foo \uD834\uDF06 bar\'\n]'

This setting has no effect on the output for strings.

indent

The indent option takes a string value, and defaults to '\t'. When the compact setting is disabled (false), the value of the indent option is used to format the output for arrays and objects.

jsesc({ 'Ich ♥ Bücher': 'foo 𝌆 bar' }, {
  'compact': false,
  'indent': '\t' // this is the default
});
// → '{\n\t\'Ich \u2665 B\xFCcher\': \'foo \uD834\uDF06 bar\'\n}'

jsesc({ 'Ich ♥ Bücher': 'foo 𝌆 bar' }, {
  'compact': false,
  'indent': '  '
});
// → '{\n  \'Ich \u2665 B\xFCcher\': \'foo \uD834\uDF06 bar\'\n}'

jsesc([ 'Ich ♥ Bücher', 'foo 𝌆 bar' ], {
  'compact': false,
  'indent': '  '
});
// → '[\n  \'Ich \u2665 B\xFCcher\',\n\  t\'foo \uD834\uDF06 bar\'\n]'

This setting has no effect on the output for strings.

indentLevel

The indentLevel option takes a numeric value, and defaults to 0. It represents the current indentation level, i.e. the number of times the value of the indent option is repeated.

jsesc(['a', 'b', 'c'], {
  'compact': false,
  'indentLevel': 1
});
// → '[\n\t\t\'a\',\n\t\t\'b\',\n\t\t\'c\'\n\t]'

jsesc(['a', 'b', 'c'], {
  'compact': false,
  'indentLevel': 2
});
// → '[\n\t\t\t\'a\',\n\t\t\t\'b\',\n\t\t\t\'c\'\n\t\t]'

json

The json option takes a boolean value (true or false), and defaults to false (disabled). When enabled, the output is valid JSON. Hexadecimal character escape sequences and the \v or \0 escape sequences are not used. Setting json: true implies quotes: 'double', wrap: true, es6: false, although these values can still be overridden if needed — but in such cases, the output wont be valid JSON anymore.

jsesc('foo\x00bar\xFF\uFFFDbaz', {
  'json': true
});
// → '"foo\\u0000bar\\u00FF\\uFFFDbaz"'

jsesc({ 'foo\x00bar\xFF\uFFFDbaz': 'foo\x00bar\xFF\uFFFDbaz' }, {
  'json': true
});
// → '{"foo\\u0000bar\\u00FF\\uFFFDbaz":"foo\\u0000bar\\u00FF\\uFFFDbaz"}'

jsesc([ 'foo\x00bar\xFF\uFFFDbaz', 'foo\x00bar\xFF\uFFFDbaz' ], {
  'json': true
});
// → '["foo\\u0000bar\\u00FF\\uFFFDbaz","foo\\u0000bar\\u00FF\\uFFFDbaz"]'

// Values that are acceptable in JSON but arent strings, arrays, or object
// literals cant be escaped, so theyll just be preserved:
jsesc([ 'foo\x00bar', [1, '©', { 'foo': true, 'qux': null }], 42 ], {
  'json': true
});
// → '["foo\\u0000bar",[1,"\\u00A9",{"foo":true,"qux":null}],42]'
// Values that arent allowed in JSON are run through `JSON.stringify()`:
jsesc([ undefined, -Infinity ], {
  'json': true
});
// → '[null,null]'

Note: Using this option on objects or arrays that contain non-string values relies on JSON.stringify(). For legacy environments like IE ≤ 7, use a JSON polyfill.

lowercaseHex

The lowercaseHex option takes a boolean value (true or false), and defaults to false (disabled). When enabled, any alphabetical hexadecimal digits in escape sequences as well as any hexadecimal integer literals (see the numbers option) in the output are in lowercase.

jsesc('Ich ♥ Bücher', {
  'lowercaseHex': true
});
// → 'Ich \\u2665 B\\xfccher'
//                    ^^

jsesc(42, {
  'numbers': 'hexadecimal',
  'lowercaseHex': true
});
// → '0x2a'
//      ^^

jsesc.version

A string representing the semantic version number.

Using the jsesc binary

To use the jsesc binary in your shell, simply install jsesc globally using npm:

npm install -g jsesc

After that youre able to escape strings from the command line:

$ jsesc 'föo ♥ bår 𝌆 baz'
f\xF6o \u2665 b\xE5r \uD834\uDF06 baz

To escape arrays or objects containing string values, use the -o/--object option:

$ jsesc --object '{ "föo": "♥", "bår": "𝌆 baz" }'
{'f\xF6o':'\u2665','b\xE5r':'\uD834\uDF06 baz'}

To prettify the output in such cases, use the -p/--pretty option:

$ jsesc --pretty '{ "föo": "♥", "bår": "𝌆 baz" }'
{
  'f\xF6o': '\u2665',
  'b\xE5r': '\uD834\uDF06 baz'
}

For valid JSON output, use the -j/--json option:

$ jsesc --json --pretty '{ "föo": "♥", "bår": "𝌆 baz" }'
{
  "f\u00F6o": "\u2665",
  "b\u00E5r": "\uD834\uDF06 baz"
}

Read a local JSON file, escape any non-ASCII symbols, and save the result to a new file:

$ jsesc --json --object < data-raw.json > data-escaped.json

Or do the same with an online JSON file:

$ curl -sL "http://git.io/aorKgQ" | jsesc --json --object > data-escaped.json

See jsesc --help for the full list of options.

Support

As of v3.0.0, jsesc supports Node.js v6+ only.

Older versions (up to jsesc v1.3.0) support Chrome 27, Firefox 3, Safari 4, Opera 10, IE 6, Node.js v6.0.0, Narwhal 0.3.2, RingoJS 0.8-0.11, PhantomJS 1.9.0, and Rhino 1.7RC4. Note: Using the json option on objects or arrays that contain non-string values relies on JSON.parse(). For legacy environments like IE ≤ 7, use a JSON polyfill.

Author

twitter/mathias
Mathias Bynens

License

This library is available under the MIT license.